ASUSTeK Computer Inc. PRIME A620M-E
Geekbench ML Score
4734
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ssk_ats |
| Upload Date | July 26 2024 06:48 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK Computer Inc. PRIME A620M-E |
| Motherboard | |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 9 Cores |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 9 Cores |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 64.0 KB x 9 |
| L2 Cache | 512 KB x 9 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
| Type | RAM |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 760M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2583
483.3 IPS |
|
|
Image Classification (F16)
|
100% |
2720
508.9 IPS |
|
|
Image Classification (I8)
|
100% |
2263
423.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2398
40.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2482
41.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2129
35.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
32550
39.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
35282
42.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
25383
30.7 IPS |
|
|
Object Detection (F32)
|
100% |
1891
141.1 IPS |
|
|
Object Detection (F16)
|
100% |
2056
153.5 IPS |
|
|
Object Detection (I8)
|
62% |
1903
142.1 IPS |
|
|
Face Detection (F32)
|
100% |
5592
66.5 IPS |
|
|
Face Detection (F16)
|
100% |
5522
65.7 IPS |
|
|
Face Detection (I8)
|
89% |
4257
50.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15353
119.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
15772
122.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
12844
99.6 IPS |
|
|
Style Transfer (F32)
|
100% |
25312
33.3 IPS |
|
|
Style Transfer (F16)
|
100% |
25495
33.5 IPS |
|
|
Style Transfer (I8)
|
98% |
27500
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4239
151.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4315
154.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3517
125.6 IPS |
|
|
Text Classification (F32)
|
100% |
990
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
1070
1.54 KIPS |
|
|
Text Classification (I8)
|
98% |
942
1.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
2384
43.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2457
45.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1525
28.1 IPS |
